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AI System Risk Documentation for Insurance and Compliance

7 chapters · 31 lessons

1. 1. AI System Inventory as Risk Evidence

   4 lessons

   Build structured inventories that capture what AI systems do, who owns them, and what authority they hold.

2. 2. Translating Technical Architecture into Risk Scenarios

   5 lessons

   Convert system design into failure modes and loss scenarios that underwriters and auditors understand.

3. 3. Control Frameworks for AI Systems

   5 lessons

   Design and document controls that satisfy insurance underwriting and compliance requirements.

4. 4. Logging and Monitoring for Claims Evidence

   4 lessons

   Design observability strategies that generate the audit trails insurers require for claims adjudication.

5. 5. Underwriting Questionnaires and Policy Language

   5 lessons

   Decode insurer questions and align your documentation to coverage terms and exclusions.

6. 6. Cross-Functional Documentation and Contract Hygiene

   4 lessons

   Ensure consistent AI system descriptions across vendor contracts, customer commitments, and insurance applications.

7. 7. Incident Response and Claims Preparation

   4 lessons

   Prepare retrospective evidence and response plans that support claims and limit liability.